Fix fusion condition of transpose and reshape

mindspore/ccsrc/pre_activate/ascend/ir_fusion/transpose_reshape_fusion.cc

@@ -50,9 +50,9 @@ const AnfNodePtr TransposeReshapeFusion::Process(const FuncGraphPtr &func_graph,
   MS_EXCEPTION_IF_NULL(reshape_cnode);
   auto transpose_cnode = CheckAnfNodeIfCNodeAndInputSize(reshape_cnode->input(1), kBackendReshapeInputNum);
   MS_EXCEPTION_IF_NULL(transpose_cnode);
-  std::vector<size_t> reshape_input0_shape = AnfAlgo::GetPrevNodeOutputInferShape(reshape_cnode, 0);
+  std::vector<size_t> reshape_output0_shape = AnfAlgo::GetOutputInferShape(reshape_cnode, 0);
   std::vector<size_t> transpose_input0_shape = AnfAlgo::GetPrevNodeOutputInferShape(transpose_cnode, 0);
-  if (!CheckShapeDimInfo(reshape_input0_shape) || !CheckShapeDimInfo(transpose_input0_shape)) {
+  if (!CheckShapeDimInfo(reshape_output0_shape) || !CheckShapeDimInfo(transpose_input0_shape)) {
     return nullptr;
   }
   auto prim = std::make_shared<Primitive>(kConfusionTransposeDOpName);

tests/ut/cpp/python_input/gtest_input/pre_activate/transpose_reshape_fusion_test.py

@@ -38,7 +38,7 @@ def test_transpose_reshape_fusion(tag):
     @fns
     def before(x):
         transpose = Transpose(x, (1, 0, 2, 3))
-        reshape = Reshape(transpose, (2, 4, 8, 16))
+        reshape = Reshape(transpose, (2, 2, 16, 16))
         return reshape
 
     @fns